Nonparametric Hierarchical Clustering of Functional Data

@article{Boull2012NonparametricHC,
  title={Nonparametric Hierarchical Clustering of Functional Data},
  author={M. Boull{\'e} and Romain Guigour{\`e}s and F. Rossi},
  journal={ArXiv},
  year={2012},
  volume={abs/1407.0612}
}
  • M. Boullé, Romain Guigourès, F. Rossi
  • Published 2012
  • Mathematics, Computer Science
  • ArXiv
  • In this paper, we deal with the problem of curves clustering.We propose a nonparametric method which partitions the curves into clusters and discretizes the dimensions of the curve points into intervals. The cross-product of these partitions forms a data-grid which is obtained using a Bayesian model selection approach while making no assumptions regarding the curves. Finally, a post-processing technique, aiming at reducing the number of clusters in order to improve the interpretability of the… CONTINUE READING
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